CASSPER is a semantic segmentation-based particle picking algorithm for single-particle cryo-electron microscopy
oleh: Blesson George, Anshul Assaiya, Robin J. Roy, Ajit Kembhavi, Radha Chauhan, Geetha Paul, Janesh Kumar, Ninan S. Philip
| Format: | Article |
|---|---|
| Diterbitkan: | Nature Portfolio 2021-02-01 |
Deskripsi
George, Assaiya et al. develop a deep learning tool, CASSPER, that automates the detection of protein particles in transmission microscope images. This algorithm uses semantic segmentation and visually prepared training samples to capture the differences in the transmission intensities of microscope images, enabling automation of data processing.